Yes — Qwen 3.5 122B-A10B (122B-A10B) runs at 40 tok/s on M4 Max with 128 GB RAM using Q4_K_M quantization via MLX. A capable open-source LLM with 122B-A10B parameters.
Want to run Qwen 3.5 122B-A10B faster — or step up to bigger models? Find your Mac →The LLMCheck index estimates Qwen 3.5 122B-A10B on M4 Max using our published methodology: Q4_K_M quantization, memory-bandwidth scaling, and cross-referenced third-party benchmarks where available. Figures are transparent estimates — own this config? Submit a real benchmark →
| Metric | Value |
|---|---|
| Tokens per second | 40 tok/s |
| Time to first token | — |
| Quantization | Q4_K_M |
| Minimum RAM | 128 GB |
| Recommended engine | MLX |
| Parameters | 122B-A10B |
| Benchmark date | 2026-09 |
Q4_K_M 122B-A10B MLX M4 Max
The recommended engine for Qwen 3.5 122B-A10B on M4 Max is MLX. Install with pip and pull the model:
Alternatively, you can use Ollama for a simpler setup:
| Chip | Speed | First Token | Min RAM | Engine |
|---|---|---|---|---|
| M4 Ultra | 71 tok/s | — | 192 GB | MLX |
| M5 Max | 44 tok/s | — | 128 GB | MLX |
| M3 Max | 29 tok/s | — | 128 GB | MLX |
To run Qwen 3.5 122B-A10B on M4 Max you need:
Qwen 3.5 122B-A10B needs about 128 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:
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See how Qwen 3.5 122B-A10B stacks up against other models on your specific Mac hardware.
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